About
LumeSage
Expert data and evaluation for model development and post-training
Beijing Langhui Technology Co., Ltd. combines domain expertise, data engineering and quality management. From task definition and source and permission checks through collection, processing, expert annotation, review and versioned delivery, we provide traceable data services for model training, evaluation and iteration. LumeSage focuses on medical and life-science data. Project scope, data handling and delivery languages are agreed for each engagement.
LUMESAGE / BIOLOGICAL AI + MEDICAL AI
Biological and medical AI: two domains, one rigorous data workflow
01 / BIOLOGICAL AI
Biological AI
For life-science research: expert involvement in task definition, annotation protocols, data review and evaluation design. Expert fit, data sources and deliverables are confirmed for each project.
Explore the domain →02 / MEDICAL AI
Medical AI
For medical imaging, clinical text and multimodal tasks: expert-reviewed data, targeted collection and annotation, and Medical Gate private evaluation.
Explore the domain →LUMESAGE / DATA & EVALUATION LOOP
From domain task to iteration: a data and evaluation loop
We clarify the model objective and real-world task, match experts and properly authorized data, produce and validate data, then evaluate models against agreed tasks and scoring rules. Findings can inform the next data and evaluation cycle. Model outcomes depend on the use case; we do not promise performance gains.
01 / Define the task
Set the use case, model objective, data specification and acceptance criteria.
02 / Match experts and data
Match expertise to the task and check provenance, permissions and handling conditions.
03 / Produce data
Organize collection, preparation, annotation or expert review under project protocols.
04 / Validate quality
Use rule checks, sampling and expert review, with issue tracking and quality records.
05 / Evaluate the model
Evaluate against mutually agreed tasks, samples and scoring rules.
06 / Learn and iterate
Analyze failure types and scope possible data additions, protocol changes or retesting.
The online medical-imaging annotation catalog lists 186 preconfigured AI auto-annotation models. Task suitability, human revision, permissions and deployment conditions must be confirmed against the specific task and sample.
Discuss a data or evaluation project →
Clinicians and specialists
Contribute to expert annotation, review or model evaluation. Qualifications, task scope and participation are confirmed per project.
Hospitals and data organizations
Discuss data-governance and partnership needs. Permissions, de-identification, access and delivery boundaries must be agreed before a project starts.
Medical and life-science companies
Define the task, samples and acceptance criteria for training data, expert annotation or private evaluation before scoping a pilot.
- Operating entity
- Beijing Langhui Technology Co., Ltd.
- Brand
- LumeSage · lumesage.com
- Office
- Beijing · PKU Science Park, Building B, Room 301
LumeSage is not a separate legal entity; contracts and invoices are under Beijing Langhui Technology Co., Ltd. Campus names in addresses do not imply university endorsement. This site is not a medical-device promotion and makes no clinical efficacy claims. Official intro · Compliance · Privacy